The Best Way to Create Your Robotics Portfolio

Written by Ricardo Tellez

15/12/2025

Your portfolio should be a dedicated website (like GitHub Pages or a simple personal site) that acts as a digital showcase of your technical abilities and project experience.

1. Focus on Quality Over Quantity

Recruiters don’t have time to wade through twenty mediocre projects. Focus your efforts on 3 to 5 truly impressive, well-documented projects that show a wide range of skills.

 

Project Type What it Demonstrates Examples
Hardware Integration Ability to work with sensors, actuators, wiring, and real-world constraints. Building a custom PCB for a mobile robot, creating a PID controller for a motor.
Complex Software/Algorithms Proficiency in high-level programming, math, and specific robotics concepts. A SLAM implementation using LIDAR data, a path planning algorithm for a drone.
Open-Source Contribution Collaboration, code review, familiarity with Git/GitHub, and industry standards. Fixing a critical bug in the ROS 2 navigation stack, adding a feature to a major robotics library.


2. Document Everything (The “Why” and the “How”)

This is the most crucial step. A portfolio project isn’t just a GitHub link. It’s a comprehensive story that answers:

  • The Problem (The “Why”): What real-world challenge were you trying to solve? (e.g., “We needed an autonomous system to inspect agricultural fields.”)
  • The Solution (The “What”): What did you build? (e.g., “A custom-built, four-wheeled mobile robot running ROS 2 and utilizing a camera for vision.”)
  • The Technical Details (The “How”): Which tools, languages, and concepts did you use? Be specific! Mention Python, C++, ROS 2, Docker, Git, OpenCV, the specific sensors, etc.
  • The Results (The “Proof”): What was the outcome? Did it work? Include performance metrics, graphs, or videos.
  • The Lessons Learned (The “Growth”): What went wrong? What would you do differently? This shows self-awareness and a learning mindset.

3. Visuals are Non-Negotiable

Robotics is a visual field. You need to prove the robot moves and the code works.

  • High-Quality Videos: Record a short, clear video (30-60 seconds) for every project showing it in action. Upload it to YouTube or Vimeo and embed it directly on your project page. A working demo is 10x better than a static image.
  • Clear Images: Use clean photos of the physical hardware, diagrams of your system architecture, and screenshots of data output or simulation results (like Rviz).1
  • Clean Code Presentation: Link directly to the GitHub repository, and ensure the README file is professional, organized, and follows the structure outlined in point #2.

4. Highlight the “Soft” Skills

A portfolio doesn’t just demonstrate technical mastery; it demonstrates professionalism.2

  • Testing Proficiency: If you used unit tests or functional tests, mention it! This shows you build robust, reliable code.
  • Documentation: Did you create API documentation? Did you use a project management tool? Detail your process.
  • Collaboration: For group projects, clearly define your specific role and contributions. If you worked on an open-source repo, emphasize the experience of multi-cultural, distributed teamwork.

💡 Portfolio Best Practices at a Glance

Do This

Avoid This
Embed a video of your project running. Just linking to a GitHub repo with no context.
Use clear headings and bold important technologies (e.g., SLAM, Docker, C++). Walls of text or overly complex technical jargon.
Explain the “why” behind your design choices. Just describing “what” the robot does.
Mention tests, deployment methods (Docker), and Git flow. Forgetting to mention the tools you used.
Have a separate, dedicated page for your Open-Source Contributions. Mixing open-source work in with personal projects.

 

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